This book details algorithms for large-scale unconstrained and bound constrained optimization. It shows optimization techniques from a conjugate gradient algori

The position taken in this collection of pedagogically written essays is that conjugate gradient algorithms and finite element methods complement each other ext

Two approaches are known for solving large-scale unconstrained optimization problems—the limited-memory quasi-Newton method (truncated Newton method) and the

A NATO Summer School held in Bandol, France, sponsored by the Scientific Affairs Division of NATO.

Proximal Algorithms discusses proximal operators and proximal algorithms, and illustrates their applicability to standard and distributed convex optimization in